Tunable stochastic memristors for energy-efficient encryption and computing

Woo, Kyung Seok; Han, Janguk; Yi, Su-in; Thomas, Luke; Park, Hyungjun; Kumar, Suhas; Hwang, Cheol Seong

doi:10.1038/s41467-024-47488-x

Tunable stochastic memristors for energy-efficient encryption and computing

Journal Article · Mon Apr 15 00:00:00 EDT 2024 · Nature Communications

DOI:https://doi.org/10.1038/s41467-024-47488-x· OSTI ID:2341390

^[1]; Han, Janguk ^[2]; ^[3]; Thomas, Luke ^[4]; Park, Hyungjun ^[2]; ^[5]; ^[2]

Seoul National Univ. (Korea, Republic of); Sandia National Lab. (SNL-CA), Livermore, CA (United States); Texas A & M Univ., College Station, TX (United States)
Seoul National Univ. (Korea, Republic of)
Texas A & M Univ., College Station, TX (United States)
Applied Materials Inc., Santa Clara, CA (United States)
Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirements – security (encryption) requires a source of unpredictability, while computing generally requires predictability. Each of these contrasting requirements presently necessitates distinct conventional Si-based hardware units with power-hungry overheads. This work demonstrates Cu_0.3Te_0.7/HfO₂ (‘CuTeHO’) ion-migration-driven memristors that satisfy the contrasting requirements. Under specific operating biases, CuTeHO memristors generate truly random and physically unclonable functions, while under other biases, they perform universal Boolean logic. Using these computing primitives, this work experimentally demonstrates a single system that performs cryptographic key generation, universal Boolean logic operations, and encryption/decryption. Circuit-based calculations reveal the energy and latency advantages of the CuTeHO memristors in these operations. This work illustrates the functional flexibility of memristors in implementing operations with varying component-level requirements.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Energy Frontier Research Centers (EFRC) (United States). Center for Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics (reMIND)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES); National Research Foundation of Korea (NRF)

Grant/Contract Number:: NA0003525

OSTI ID:: 2341390

Report Number(s):: SAND--2024-05027J

Journal Information:: Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 15; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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